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M. Hicks

26 papers hereh-index 489k citations185 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5
  • last author19

Across the 25 of 26 papers where every author was matched, so the position is known.

fields
  • cs.PL13
  • cs.CR7
  • cs.SE2
  • cs.DB1
  • cs.LO1
  • cs.NI1
same name
  • M. Hicks — 4 papers, h 27
  • M. Hicks — 2 papers, h 4
  • M. Hicks — 2 papers, h 3
  • M. Hicks — 1 paper, h 13
  • M. Hicks — 1 paper, h 29
  • M. Hicks — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedA Verified Optimizer for Quantum Circuits

111 citations · 383 across the 23 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.PL2018★ 29 cited

Quantitative Robustness Analysis of Quantum Programs (Extended Version)

Shih-Han Hung, Kesha Hietala, Shaopeng Zhu +3

Quantum computation is a topic of significant recent interest, with practical advances coming from both research and industry. A major challenge in quantum programming is dealing w…

cs.CR2018★ 3 cited

Evaluating Fuzz Testing

George Klees, Andrew Ruef, Benji Cooper +2

Fuzz testing has enjoyed great success at discovering security critical bugs in real software. Recently, researchers have devoted significant effort to devising new fuzzing techniq…

cs.PL2018★ 14 cited

Evaluating Design Tradeoffs in Numeric Static Analysis for Java

Shiyi Wei, Piotr Mardziel, Andrew Ruef +2

Numeric static analysis for Java has a broad range of potentially useful applications, including array bounds checking and resource usage estimation. However, designing a scalable…

cs.PL2018

What's the Over/Under? Probabilistic Bounds on Information Leakage

Ian Sweet, Jose Manuel Calderon Trilla, Chad Scherrer +2

Quantitative information flow (QIF) is concerned with measuring how much of a secret is leaked to an adversary who observes the result of a computation that uses it. Prior work has…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.